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Project Information

A STUDY OF SOCIAL WEB DATA ON BUPRENORPHINE ABUSE USING SEMANTIC WEB TECHNOLOGY

Agency:
NIDA

HHS/NIH/National Institute on Drug Abuse (NIDA)

Project Number:
1R21DA030571-01A1
Contact PI / Project Leader:
DANIULAITYTE, RAMINTA
Awardee Organization:
WRIGHT STATE UNIVERSITY

Description

Abstract Text:
DESCRIPTION (provided by applicant): The non-medical use of pharmaceutical opioids has been identified as one of the fastest growing forms of drug abuse in the U.S. There is a critical need to enhance current epidemiological monitoring, early warning, and post-marketing surveillance systems by providing additional and more timely data. The World Wide Web has been identified as one of the "leading edge" data sources for detecting patterns and changes in drug use practices. Many websites provide a venue for individuals to freely share their own experiences, post questions, and offer comments about different drugs. Such User Generated Content (UGC) can be used as a very rich data source to study knowledge, attitudes, and behaviors related to illicit drugs. To harness the full potential of the Web for drug abuse research, the field needs to develop a highly automated way of accessing, extracting, and analyzing Web-based data related to illicit drug use. This exploratory R21 is a multi-principal investigator, collaborative effort between researchers at the Center for Interventions, Treatment and Addictions Research (CITAR) and the Center for Knowledge-Enabled Information Services and Science (Kno.e.sis) at Wright State University. The purpose of this Web-based study is to apply cutting-edge information processing techniques, such as the Semantic Web, Natural Language Processing, and Machine Learning, to qualitative and quantitative content analysis of user generated content to achieve the following aims: 1) Describe drug users' knowledge, attitudes, and behaviors related to the illicit use of Suboxone(R) (buprenorphine/naloxone) and Subutex(R) (buprenorphine); 2) Identify and describe temporal patterns of the illicit use of these drugs as reflected on web-based forums. To collect data, the study will use websites that allow for the free discussion of illicit drugs, contain information on illicit prescription drug use, and are accessible for public viewing. The study will generate new information about the practices of buprenorphine abuse and will contribute to the advancement of public health and substance abuse research by providing automatic coding and information extraction tools needed to handle rapidly growing Web-based data. Automated information extraction methods applied in this study will enhance current early warning and epidemiological surveillance systems and could advance qualitative and Web-based research methods in other areas of public health. PUBLIC HEALTH RELEVANCE: Building on inter-disciplinary collaboration and cutting-edge information processing techniques, this exploratory, Web-based study will generate new information about Suboxone(R) (buprenorphine/naloxone) and Subutex(R) (buprenorphine) abuse practices, thereby informing public health interventions and policy. It will also contribute to the advancement of public health and substance abuse research methods by providing automatic coding and information extraction tools needed to handle rapidly growing Web-based data.
Project Terms:
Accident and Emergency department; addiction; Archives; Area; Behavior; Buprenorphine; buprenorphine abuse; Code; Collaborations; Communities; Complement; Complex; computer based Semantic Analysis; Data; Data Sources; design; Drug abuse; Drug Rehabilitation Centers; Drug usage; Drug user; Early identification; emotional disclosure; empowered; Epidemiologic Monitoring; Epidemiologic Studies; Epidemiology; experience; Face; Health; Health Knowledge, Attitudes, Practice; Health Professional; Heroin Dependence; Hospitals; Illicit Drugs; Individual; informant; information processing; Information Sciences; Information Services; Information Systems; Internet; Intervention; Intervention Studies; Interview; Knowledge; Label; Language; Link; Machine Learning; Manuals; Measures; Methods; misuse of prescription only drugs; Monitor; Naloxone; Natural Language Processing; NIH Program Announcements; Online Systems; Opioid; Overdose; Pathway interactions; Pattern; Pharmaceutical Preparations; Pharmacologic Substance; Poison Control Centers; Policies; Population; population survey; post-market; prescription drug abuse; Prevention; Principal Investigator; Process; programs; Public Health; Published Comment; Qualitative Research; Reading; Reliance; Research; Research Methodology; Research Personnel; response; Sampling; Selection Bias; Self Disclosure; Semantics; social; Source; Substance abuse problem; Subutex; Surveillance Methods; Surveys; System; Techniques; Technology; Text; Time; tool; trend; Universities; web site; working group

Details

Contact PI / Project Leader Information:
Name:  DANIULAITYTE, RAMINTA
Other PI Information:
SHETH, AMIT P
Awardee Organization:
Name:  WRIGHT STATE UNIVERSITY
City:  DAYTON    
Country:  UNITED STATES
Congressional District:
State Code:  OH
District:  07
Other Information:
Fiscal Year: 2011
Award Notice Date: 31-May-2011
DUNS Number: 047814256
Project Start Date: 01-Jul-2011
Budget Start Date: 01-Jul-2011
CFDA Code: 279
Project End Date: 30-Jun-2013
Budget End Date: 30-Jun-2012
Agency: ?

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HHS/NIH/National Institute on Drug Abuse (NIDA)
Project Funding Information for 2011:
Year Agency

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FY Total Cost
2011 NIDA

HHS/NIH/National Institute on Drug Abuse (NIDA)

$219,000

Results

i

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